NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE15291 Query DataSets for GSE15291
Status Public on Aug 31, 2009
Title Development of a novel parameter for quantification of methylation levels in MeDIP-CpG island microarray analysis
Organism Homo sapiens
Experiment type Methylation profiling by genome tiling array
Summary Microarray analysis of DNA methylation has a great promise in biomedical research. However, its accuracy in quantification of DNA methylation, especially at intermediate levels, is still unreliable due to the lack of an appropriate parameter that takes account of unique distribution nature of methylation levels and highly variable mean methylation levels depending upon individual samples. Here, for methylated DNA immunoprecipitation-microarray analysis, we developed a parameter, "Me value" as a parameter that linearly correlates with methylation levels in CpG islands (CGIs) in various samples with various mean methylation levels. The Me value had a linear correlation with the fraction of methylated DNA molecules obtained by bisulfite sequencing (R=0.86). Analysis of cells treated with 5-aza-2'-deoxycitidine showed that distribution of the Me values shifted toward lower methylation levels. For analysis of completely unmethylated or methylated CGIs, common threshold values stood valid with accuracy of 80 % for cell lines with various methylation levels, which was shown by methylation-specific PCR of more than one hundred loci. Combined with expression microarray analyses, it was shown that methylation of promoter CGIs was significantly associated with low gene expression while that of far downstream was not. It was also shown that various regions against TSSs are demethylated evenly by a demethylating agent, and that the degree of demethylation of any region was not associated with the degree of re-expression.
 
Overall design Genome-wide methylation analysis of six samples were performed using MeDIP and CpG island microarray. Analysis of AGS was replicated for checking reproducibility.
 
Contributor(s) Yamashita S, Hosoya K, Gyobu K, Lahoti M, Ushijima T
Citation(s) 19767598
Submission date Mar 19, 2009
Last update date Dec 06, 2012
Contact name Satoshi Yamashita
E-mail(s) syamashi@maebashi-it.ac.jp
Organization name National Cancer Center Research Institute
Street address Tsukiji 5-1-1
City Chuo-ku
State/province Tokyo
ZIP/Postal code 104-0045
Country Japan
 
Platforms (1)
GPL4126 Agilent-014791 Human CpG Island ChIP-on-Chip Microarray 244K (G4492A) (Feature Number version)
Samples (7)
GSM375641 CpG island methylation in AGS
GSM382142 CpG island methylation in AGS (2)
GSM382143 CpG island methylation in HSC39
Relations
BioProject PRJNA116525

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE15291_RAW.tar 452.1 Mb (http)(custom) TAR (of TXT)
Processed data included within Sample table

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap